Top Tech Jobs & Startup Jobs

Support and maintain AWS-based Amazon Connect contact center environments. Build monitoring and observability capabilities using Splunk, CloudWatch, and Zabbix; troubleshoot production incidents, perform root cause analysis, improve logging standards, and implement corrective actions. Collaborate with developers, architects, platform owners, and vendors to enhance reliability, dashboards, diagnostics, and operational efficiency across CCaaS platforms.

Serve as the founding US Technical Account Manager owning end-to-end technical onboarding, support, troubleshooting, escalations, and playbook creation. Interface with customers and internal Product/Engineering, diagnose issues across app/backend/integrations/devices/MDM, and translate learnings into processes, documentation, and product feedback to scale US technical operations.

Develop and optimize optical metrology systems for semiconductor equipment. Responsibilities include aligning, validating, troubleshooting, and improving complex optical systems; designing experiments; defining system requirements; supporting prototype development, tool installation, and tool matching; and communicating methods through technical presentations, procedures, and training. The role collaborates with software, hardware, and applications teams and requires international travel of up to 15%.

Lead growth strategy and roadmap for consumer healthcare subscriptions. Own the acquisition funnel from discovery through activation and retention handoff, define KPIs and growth models, and establish experimentation practices. Partner with Analytics, Design, Research, Engineering, Marketing, CRM, Content, and SEO teams to improve conversion and member value. Translate customer insights and data into product priorities while balancing consumer needs, business outcomes, operational complexity, privacy, and healthcare compliance.

Build and nurture enterprise customer relationships, educate users through webinars and workshops, increase product adoption, analyze usage data to identify risks and growth opportunities, and collaborate with Account Management and Product teams. The role also includes mentoring colleagues, synthesizing customer feedback, and helping shape product enhancements and roadmaps.

Support full product lifecycle for aerospace electronic/electrical systems: requirements analysis, systems and hardware/software design, lab specification, integration and flight testing, supplier oversight, field support, and technology research to ensure designs meet functional requirements.

Lead complex enterprise SaaS sales for engineering firms across North America. Manage the full sales cycle from qualified leads and discovery through pilots, procurement, negotiation, and multi-year contract close. Build relationships with executives, engineers, and internal champions; generate outbound pipeline; represent the company at industry events; and collaborate with Product, Marketing, and Customer Success to support onboarding and expansion.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Processes high-volume payroll for staffing associates and employees, including time entry, pay rates, deductions, reimbursements, adjustments, audits, corrections, and off-cycle requests. Supports VMS accounts, reconciles approved time records, verifies remittances, resolves discrepancies, and assists branches and clients. Maintains payroll documentation and regulatory compliance, generates reports, supports audits and year-end activities, and contributes to process improvements while providing responsive payroll support.

Leads the enterprise Data and AI product portfolio, including product governance, intake, prioritization, roadmaps, investment planning, and lifecycle management. Partners with engineering, business, risk, compliance, security, and governance teams to deliver data and AI products with measurable value. Identifies and prioritizes AI and generative AI use cases, develops business cases and success metrics, manages stakeholder alignment, and supports adoption through executive communications, training, and reporting.